Guide to Advanced Empirical


Validity and Reliability in Software Engineering Surveys



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2008-Guide to Advanced Empirical Software Engineering
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7.3. Validity and Reliability in Software Engineering Surveys
Generally, software engineering surveys are weak in the area of validity and reliability. For example, for many years, in the extensive literature relating to the CMM, there was only one reference to a reliability coefficient (the Cronbach’s alpha) and that concerned the 1987 version of the Maturity Questionnaire (Humphrey, 1991).


3 Personal Opinion Surveys Of the three surveys we discussed in Sect. 1.2, only the Finnish Survey
(Ropponen and Lyytinen, 2000) made a concerted effort to undertake reliability and validity studies. The technology adoption survey used face validity only. Lethbridge discusses the basis for his questions, but his discussion of validity is based only on a post-hoc assessment of possible responder bias (Lethbridge, 1998, 2000). In contrast, the Finnish researchers used a panel of experts to judge the content validity of the questions. They also attempted to assess the internal reliability of their instrument. Unfortunately, they did not perform an independent pilot study. They analyzed their survey responses using principal components to identify strategies for managing risks. They then derived Cronbach alpha statistics (Cronbach, 1951) from the same responses. They found high values and concluded that their survey instrument had good reliability. However, Cronbach alpha values were bound to be high, because they measure the structure already detected by the principal component analysis.
7.4. Survey Documentation
After the instrument is finalized, Bourque and Fielder (1995) recommend starting to document the survey. If the survey is self-administered, you should consider writing an initial descriptive document, called a questionnaire specification. It should include:

The objectives) of the study.

A description the rationale for each question.

The rationale for any questions adopted or adapted from other sources, with appropriate citations.

A description of the evaluation process.
Furthermore, once the questionnaire is administered, the documentation should be updated to record information about:

Who the respondents were.

How it was administered.

How the followup procedure was conducted.

How completed questionnaires were processed.
One of the major reasons for preparing documentation during the survey is that surveys can take along time. It maybe many months between first distributing a questionnaire and when we are able to analyze results. It takes time for respondents to reply and for the researchers to undertake all necessary followup procedures. This time lag means that it is easy to forget the details of instrument creation and administration, especially if documentation is left to the end of the study. In general, it is good research practice to keep an experimental diary or logbook for any type of empirical studies.


82 BA. Kitchenham and S.L. Pfleeger
When questionnaires are administered by interview, specifications are referred to as interviewer specifications and can be used to train interviewers as well as for reference in the field.
Once all possible responses have been received and all followup actions have been completed, we are in a position to analyze the survey data. This is discussed in the following sections. However before tackling analysis we look at the problem of obtaining a data set that is suitable for statistical analysis.

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